/**
 * This file is part of the Java Machine Learning Library
 * 
 * The Java Machine Learning Library is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * 
 * The Java Machine Learning Library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with the Java Machine Learning Library; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 * 
 * Copyright (c) 2006-2010, Thomas Abeel
 * 
 * Project: http://java-ml.sourceforge.net/
 *  
 */
package net.sf.javaml.classification.bayes;

/**
 * Data structure used for Entropy based algorithms
 * 
 * @author Lieven Baeyens
 * @author Thomas Abeel
 */

 public class ClassCounter_compact {

	protected double[] counter_class;

	 ClassCounter_compact(int amountOfClasses) {
		counter_class = new double[amountOfClasses];
		for (int i = 0; i < counter_class.length; i++) {
			counter_class[i] = 0.0;
		}
	}

	/** Sets the name of the example */
	 void setCountClass(double amount, int index) {
		counter_class[index] = amount;
	}

	/** Returns the name of the example */
	 double getCountClass(int index) {
		return counter_class[index];
	}

	/** Returns the name of the example */
	// to get prior probs of a featurevalue
	 double getSumAllCountClasses() {
		double sum = 0.0;
		for (int i = 0; i < counter_class.length; i++) {
			sum += counter_class[i];
		}
		return sum;
	}

	 public double[] getCounterTable() {
		return counter_class;
	}

}
